1,720,954 research outputs found
PENGARUH IAA DAN GA3 TERHADAP PERTUMBUHAN DAN KANDUNGAN SAPONIN TANAMAN PURWACENG (Pimpinella alpina, Molk.)
Two of the important plant hormones in controlling the plant growth are
the IAA and GA3. By using certain concentration of these hormones in plant
treatmens they will affect the growth of organisms and also the plant phenotype
activities. The aims of this research were to examine (1) the effect of IAA and
GA3 in different concentrations to the growth of the plants and (2) the saponin
contained inside the P. alpina, leaves.
The research was done in Sikunang village, Kejajar, Wonosobo from July
to November 2007, and the second experiment of chemical test was done from
December 2007 to January 2008 at central Laboratory of Natural Science-UNS.
The experiment methods were used the Completely Random Design with two
factor was used to analyses this experiment. First treatment give IAA and GA3,
second was done by giving different IAA and GA3 concentration. These
experiments were repeated three times. Variables measured in this research were
the growth of plant which is consisted of the number of leaves, their height, width,
wet weight as well as dry weight. The chemical compound of the secondary
metabolite in the form of leave saponin was employed the Analyzed Varian
Analysis (ANAVA), then continued to Duncan Multiple Distance Test in 5% level
to analyze the real difference between those treatments.
The result showed that giving IAA and GA3 differently affect the growth
P. alpine. In variable of the height, the optimal wet weight and dry weight of
the plant in GA3 treatment was 50 ppm; optimum number of leaves in GA3
treatment was 50 ppm where as the leave width in IAA treatment was 200 ppm
and GA3 treatment was 75 ppm and optimum saponin treatment was 200 ppm and
GA3 25 ppm.
Keyword : Pimpinella alpina, Indol-3-acetidacid, gibberelic acid, growth, saponin,
Dieng
Effect of IAA and GA3 toward the growing and saponin content of purwaceng (Pimpinella alpina)
Abstract. Fathonah D, Sugiyarto. 2009. Effect of IAA and GA3 toward the growing and saponin content of purwaceng (Pimpinella
alpina). Nusantara Bioscience 1: 17-22. The aims of this research are to examine (i) the effect of IAA and GA3 in different
concentrations to the growth of the plants and (ii) the saponin contained inside the P. alpina, leaves. The research was done in Sikunang
Village, Kejajar Subdistrict, Wonosobo District, Central Java from July to November 2007. The experiment methods were used the
Completely Random Design with two factors were used to analyze this experiment. First treatment gives IAA and GA3, second was done
by giving different IAA and GA3 concentration. These experiments were repeated three times. Variables measured in this research were
the growth of plant which is consisted of the number of leaves, their height, width, wet weight as well as dry weight. The chemical
compound of the secondary metabolite in the form of leave saponin was employed. The result was analyzed by Analysis of Variance
(ANOVA), then continued to Duncan Multiple Range Test in 5% level to analyze the real difference between those treatments. The
result showed that giving IAA and GA3 differently affect the growth P. alpina. In variable of the height, the optimal wet weight and dry
weight of the plant in GA3 treatment was 50 ppm; optimum number of leaves in GA3 treatment was 50 ppm where as the leave width in
IAA treatment was 200 ppm and GA3 treatment was 75 ppm and optimum saponin treatment was IAA 200 ppm and GA3 25 ppm.
Key words: Pimpinella alpina, IAA, GA, growth, saponin, Dieng
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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